Augmented reality generated human challenge

ABSTRACT

A human challenge can be presented in an augmented reality user interface. A user can use a camera of a smart device to capture a video stream of the user&#39;s surroundings, and the smart device can superimpose a representation of an object on the image or video stream being captured by the smart device. The smart device can display in the user interface the image or video stream and the object superimposed thereon. The user will be prompted to perform a task with respect to one or more of these augmented reality objects displayed in the user interface. If the user properly performs the task, e.g., selects the correct augmented reality objects, the application will validate the user as a person.

BACKGROUND

A human challenge or a completely automated public Turing test to tellcomputers and humans apart (“CAPTCHA”) is a type of challenge-responsetest used in computing to determine whether or not the user is human.For example, distorted text can be used as CAPTCHA because humans canread distorted text, but many computer programs can't. There can bevarious uses for CAPTCHA. In many applications, it is important toestablish that the user is a person. In the context of accountregistration, for example, ensuring that accounts are created by realhumans can prevent creation of fake accounts. Similarly, in the contextof displaying contact information and email addresses on the web, manyscrapers search for and gather this information for spamming purposes.If an email address can be shown only to people, spamming can bereduced. Human challenges can also protect online polls from fake votesand prevent dictionary attacks against online accounts.

Augmented reality is an enhanced version of reality where live direct orindirect views of physical real-world environments are augmented withsuperimposed computer-generated images over a user's view of thereal-world. Sometimes, augmented reality includes computer-generatedperceptual information across multiple sensory modalities, includingvisual, auditory, haptic, somatosensory, and olfactory. Augmentedreality can enhance one's current perception of reality.

Machine learning uses statistical techniques for teaching computers withdata to perform specific tasks without being explicitly programmed to doso. The goal of machine learning is to construct algorithms that canlearn from and make predictions on data. These algorithms work bycreating mathematical models which can classify data. The process ofcreating the models can involve training and fine tuning the modelparameters using input data.

SUMMARY

Current human challenges have several drawbacks. Software bots havebecome very sophisticated these days. With advances in machine learningtechniques, bots can easily guess the correct response to some humanchallenges. For example, it has become relatively easy for bots toascertain distorted text. Similarly, bots are now capable of listeningto recordings and transcribe them. Moreover, the consumers of thesechallenges are computer users and website visitors who have no choicebut to spend time completing boring tasks. As these challenges are usedon an ever-increasing number of websites, the users encounter them morefrequently. However, they do not enjoy completing these tasks as theusers feel they are a waste of their time. Therefore, it is an object ofthis disclosure to describe a novel and interactive human challengewhich can address the shortcomings of the current human challenges.Specifically, it is an object of this disclosure to describe a humanchallenge which is difficult to predict for the current bots butenjoyable to complete for the users.

In one example embodiment, a human challenge can be presented in anaugmented reality user interface. Specifically, augmented reality can beused to superimpose virtual objects (or augmented reality objects) on animage or video stream captured by a camera (e.g., in real time). Forexample, a user of a smart device (e.g., a smartphone, a tablet, smartglasses, a wearable device, or the like) can use a camera of the smartdevice to capture a video stream of the user's surroundings, and thesmart device (or an augmented reality application running on the smartdevice) can superimpose a representation of an object (e.g., anaugmented reality object) on the image or video stream being captured bythe smart device. The smart device can display in the user interface theimage or video stream and the object superimposed thereon. The user willbe prompted to perform a task with respect to one or more of theseaugmented reality objects displayed in the user interface. If the userproperly performs the task, e.g., selects the correct augmented realityobjects, the application will validate the user as a person.

In one example embodiment, the smart device can execute an applicationwhich includes a page that requires the user to respond to a humanchallenge. The application can include a button for initiating thechallenge. Upon initiation of the challenge, the application canactivate a camera of the smart device. The application can display, inreal time, an image or video stream captured by the camera (the“background”). The application can display a prompt to the user, whichspecifies a task to be performed by the user if the user desires tobypass or complete the human challenge. The application can also displaya plurality of augmented reality objects superimposed on the background.If the user performs the specified task with respect to the augmentedreality objects, the application can allow the user to navigate to thenext page. Otherwise, the user can be displayed another human challenge(or the application can be locked).

In one example embodiment, the augmented reality objects can be imagesor visual representation of objects. Each augmented reality object canhave at least one attribute and the prompt can ask the user to identifyat least one object with a specific attribute. For example, theinterface can display augmented reality animals, and the prompt can askthe user to identify augmented reality dogs. If the user selects theaugmented reality dogs displayed in the user interface, the user will beallowed to open an account on the application.

In one example embodiment, the application can display the augmentedreality objects in a 3-D space. The camera in its initial position,i.e., initial field of view, can capture only part of the 3-D space.Some of the augmented reality objects can appear in the initial field ofview displayed in the user interface, but some of the augmented realityobjects require the user to change the field of view (e.g., by rotatingor tilting the smart device). Once the initial field of view is changed,the camera can capture other parts of the 3-D space, and thus, the userinterface can display other augmented reality objects. The user cansuccessfully complete the prompt only if the user selects all theobjects specified by the prompt, which can include objects in parts ofthe 3-D space not displayed in the initial field of view.

In one example embodiment, the application can include a light sourcedetection module. Using this module, the application can determine thecoordinates of a light source. The application can also determine adirection or vector for the light emanating from the light source. Basedon this detected direction, the application can determine and displayshades or shadows for augmented reality objects. The application can askthe user to identify objects which include the correct shade or shadow.For example, some of the objects can have their shadows displayed on theleft side but others can include shadows displayed on the right side.The user can successfully complete this prompt by selecting the objectsthat include shadows on, e.g., the left side (if the light source is onthe right side).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an example account log-in page for an applicationassociated with an email service.

FIG. 2 shows an example activated human challenge mode in an exemplaryuser interface.

FIG. 3 shows an example human challenge mode in which some of theaugmented reality objects can be displayed outside of the original fieldof view of the camera.

FIG. 4 shows an example field of view including an augmented realityobject in the user interface.

FIG. 5 shows an example human challenge mode in which the applicationdisplays augmented reality objects with shadows.

FIG. 6 illustrates exemplary hardware components of a server.

DETAILED DESCRIPTION

In an example embodiment, a smart device can store and execute a programapplication (“application”). The application, when executed, can show auser interface in a display of the smart device. The user interface candisplay various pages and receive input from the user by, e.g., tactileuser interaction with the display of the smart device. The applicationcan also include a module for determining whether a user of theapplication is a person (and not a bot or computer). This module cancause the application to display an augmented reality interface for thispurpose. In one embodiment, the application can be a standaloneapplication for the sole purpose of verifying that the user is a person.In another embodiment, the application can include other features. Forexample, the application can be an email application with the capabilityto open a new email account and sign the user in the account. As anotherexample, the application can be a bank application with the capabilityto sign the user in the user's bank account and display the user'sfinancial information.

FIG. 1 shows an example account log-in page 110 for an applicationassociated with an email service. The application allows the user toaccess the user's email account using a username and password. Theapplication is configured to display a user interface 101 in the displayof a smart device 100. The account log-in page 110 can include a field111 for receiving a username, a field 112 for receiving a password and alog-in button 115 for logging in the account. The page 110 can alsoinclude a visual indicator for activating a human challenge. In thisexample embodiment, the user will not be able to log in the user'saccount unless the user confirms that the user is a person. The user canconfirm this by activating and successfully completing the humanchallenge.

The visual indicator can be a button, field, image, media file, etc.Although this example embodiment includes a visual indicator foractivating the human challenge, in some examples, the human challengecan be automatically activated. For example, the human challenge can beactivated when the user interface 101 displays the page 100. As anotherexample, the human challenge can be activated when the user fills outthe information in fields 111 and 112. As yet another example, the humanchallenge mode can be activated when a user scans a QR code using thecamera of the smart device.

In this example, the visual indicator can be a button 113. When the usertaps on the button 103, the human challenge mode can be initiated, e.g.,the application can turn the camera on to capture an image or videostream. The application can display the image or video stream capturedby the camera in the user interface 101. This image or video stream canbe called the “background.” For example, for a user sitting in a livingroom, when the user taps on the button 113, the camera can capture whatis in the field of view of the camera, e.g., a couch, table and carpet.The user can change the field of view of the camera, for example, bytilting, rotating or swaying the camera. The page 110 can also include astatus indicator 114 for displaying the status of the human challenge.Here, the status is “not confirmed,” which indicates that the user hasnot confirmed that the user is a person.

In an example embodiment, in the human challenge mode, the applicationcan superimpose augmented reality objects over the background (or videostream). The augmented reality objects can be drawings, images, photos,GIFs, animations, videos, media files, writings, etc. The augmentedreality objects can resemble physical objects or things. For example, anaugmented reality object can be a car, boat, dog, etc. The augmentedreality objects can be selected randomly or they can be chosen based onthe objects that appear in the background. In one embodiment, theaugmented reality objects can be selected based on a location of thesmart device or a scene of the background. In another embodiment, aserver can transmit to the smart device the augmented reality objects tobe displayed to the user.

FIG. 2 shows an example activated human challenge mode in the userinterface 101. In this example embodiment, the camera of the smartdevice 100 is activated (e.g., by pressing the button 113) and capturesa video stream from a bed room. The user interface 101 shows anaugmented reality page 210, which displays the video stream 211 from thebed room. The page 210 can also display a plurality of augmented realityobjects. For example, an augmented reality cat 212 and an augmentedreality dog 213 are displayed on the page 210. The page 210 can alsodisplay a prompt 214, which in this case asks the user to identify allthe cats displayed on page 210. In this example, the user can select thecat 212, e.g., by tapping 215 on the augmented reality cat 212. Upontapping 215 on the augmented reality cat 212, the application canreceive this input and determine whether the user's selection isresponsive to the task specified in prompt 214. If the selection isresponsive to the task (which in this case is), the application candetermine that the human challenge mode is completed. The user interface101 can, for example, display the account log-in page 110 with thestatus indicator stating “confirmed.” If the selection is not responsiveto the task, the application can determine that the user has failed thehuman challenge. In response, the application can take one or moresteps. For example, the application can take the user back to theaccount log-in page 110 and continue to display the “not confirmed”status indicator 114. In one embodiment, the application can rerun thehuman challenge mode with a new prompt and augmented reality objects.

The application can display a variety of prompts to the user. In oneexample embodiment, the prompt can task the user to select certainaugmented reality objects displayed in the video stream. For example,each augmented reality object can include at least one attribute and theprompt can ask the user to select the augmented reality objects with aspecific attribute (e.g., all augmented reality objects are animals andthe prompt asks the user to select cats). In another example embodiment,the prompt can ask the user to drag and/or drop certain visual objectsdisplayed in the video stream. For example, the prompt can ask the userto drag misplaced augmented reality objects, e.g., drag a fish placed onsand into water. In yet another example embodiment, the task can bedrawing a shape or object over an augmented reality object or betweentwo augmented reality objects, e.g., circle around cats or draw an “S”connecting two cats. In yet another example embodiment, the prompt canask the user to select certain augmented reality objects in a specifiedsequence. For example, the prompt can ask the user to select cats beforeidentifying dogs.

There can be various techniques for a user to respond to a prompt. Forexample, if the prompt asks the user to select augmented reality objectswith a specific attribute, the user can tap or click on the objectswhich have the attribute. As another example, the user can select anaugmented reality object by drawing a circle around the object. As yetanother example, the user can draw a connection between two or moreobjects. For example, the user can connect the object that appears to beclosest (to the user) to the object that appears to have the longestdistance from the user. The user can connect the objects by, e.g.,sliding the user's finger on the touchscreen of smart device, or tappingthe user's finger on the touchscreen of the smart device. When the usertaps the user's finger on the touchscreen, the tapping can create apattern on a space between the objects. The smart device can determineif this pattern matches a pattern asked of the user in a prompt, e.g.,draw a semicircle by tapping between the objects. As another example, auser can drag or drop an object. For example, a prompt can ask a user toplace objects where they logically belong to, e.g., if the userinterface displays a fish on a beach, the user can drag the fish anddrop the fish in the water.

As yet another example, the user can type a description of the objectresponsive to the prompt, e.g., there is a dog on the bed. Theapplication can include a natural language processing module which candetermine the intent of the user's statement. The application can alsoinclude an object recognition module. The application can display anaugmented reality object over an object that the application hasrecognized in the application. For example, the user is in a bedroom andthe application can recognize a bed in the bedroom. The application candisplay a dog over the bed in the bedroom. The prompt can ask the userto identify the dogs in the user interface. The user interface caninclude a field for providing a narrative input to the application. Oncethe user provides the narrative input, the natural language processingmodule can evaluate the narrative. For example, the user can provide thename of an augmented reality object and the name of an object in thebackground in the narrative, e.g., there is a white dog on the bed. Ifthe natural language processing module determines that the narrativeincludes an association between the augmented reality object (e.g.,white dog) and the object in the background (e.g., bed), and that theaugmented reality object (e.g., white dog) corresponds to the prompt(e.g., identify dogs), the module can decide that the user has properlydescribed an augmented reality object in the narrative, and as a result,the application can determine that the user has completed the humanchallenge. As another example, the module can decide that the user hasproperly described an augmented reality object in the narrative when theuser mentions only the background object.

In one example embodiment, the application or a server in communicationwith the application can determine whether the user's selection inresponse to the prompt is appropriate. For example, the application candetermine whether the augmented reality objects selected by the usercorrespond to the task specified in the prompt. In one embodiment, thesmart device can store a database of augmented reality objects, promptsand the correct selections in response to the prompts. The applicationcan select the augmented reality objects and prompts from this database.If the user selects augmented reality objects that are responsive to theprompt (as specified by the database), the application can determinethat the user has properly completed the human challenge. In oneembodiment, the application is configured to receive the augmentedreality objects and prompts from a server (i.e., the server includes thedatabase). The server can also specify which selections are appropriatein response to the prompt. If the user selects the augmented realityobjects specified by the server, the application can determine that theuser has completed the human challenge.

FIG. 3 shows an example human challenge mode in which some of theaugmented reality objects can be displayed outside of the original fieldof view of the camera. In this example embodiment, the user is on abeach. The user can activate the human challenge mode by, e.g., pressingthe button 113. As a result, the user interface 101 can display a videostream 311 on the augmented reality page 201.

Initially, the user can point the smart device 100 at a field of view301 and the user interface 101 can display the field of view 301 in thevideo stream 311. The application can superimpose an augmented realityboat 312 on the field of view 301 and the user interface 101 can displaythe augmented reality boat 312 in the video stream 311. The user canmove the smart device 100 and capture a different part of the space 302.For example, if the user rotates the smart device 100 to the left, theuser can capture the field of view 303. Once the user interface 101displays the field of view 303, the application can superimpose anaugment reality boat 313 on the field of view 303 and the user interface101 can display the augmented reality boat 313. FIG. 4 shows an examplefield of view 303 including an augmented reality boat 312 in the userinterface 101. In this example, the user has changed the field of view301 to the field of view 303.

In FIG. 3, the prompt 314 asks the user to select the boats. The usercan select the augment reality boat 312 when the smart device 100 ispointing at the field of view 301, e.g., by tapping on the augmentedreality boat 312. The user can rotate the smart device 100 to the leftand observe the augmented reality boat 313 (FIG. 4). Then, the user canselect the augment reality boat 313, e.g., by tapping on the augmentedreality boat 313. Once the user makes the selections, the applicationcan determine whether the user is a person. For example, if the userselects both augmented reality boats 312 and 313, the application canindicate that the user is a person. Otherwise, if the user fails toselect these boats or incorrectly selects, e.g., the augmented realityflag 320, the application can determine that the user was not able tosuccessfully complete the task. In response, the application can displayanother human challenge or end the human challenge mode (to prevent theuser from advancing in the application).

Components of the Human Challenge Mode

In one example embodiment, the application of the smart device candetermine the components of the human challenge mode, e.g., augmentedreality objects, prompts and correct responses. For example, theapplication of the smart device can determine the augmented realityobjects and prompts displayed in the user interface of the smart device.The application can also make the determination of whether the user hasselected the augmented reality objects that correspond to the taskidentified in the prompt. In another example embodiment, a server incommunication with the smart device can determine the components of thehuman challenge mode. For example, the application can transmit a signalto the server, and in response, the server can transmit to the smartdevice the components of the human challenge mode, e.g., the augmentedreality objects, prompt, and correct selections. In yet another exampleembodiment, the smart device and the server can jointly determine thecomponents of the human challenge mode. For example, the application cantransmit to the server a video snippet of the video stream. Based on thevideo stream, the server can determine a theme for the components. Theserver can transmit the theme to the smart device and based on the themethe smart device can determine the augmented reality objects and promptsdisplayed to the user.

In an example embodiment, the application of the smart device or theserver can include an object recognition module. For example, the modulecan receive a video feed from the camera of the smart device anddetermine one or more objects in the video feed. Based on the identityof these objects detected in the video feed, the application of thesmart device or the server can determine the components of the humanchallenge. For example, the object recognition module can detect severalindoor objects, such as a door, carpet, table and chair, in the user'senvironment. The application or server can determine to displayaugmented reality objects related to these indoor objects, e.g., anindoor pet such as a parrot. As another example, the object recognitionmodule can detect a tree, and the application of the smart device orserver can determine to display a fruit on the tree as an augmentedreality object.

In an example embodiment, the application can feed the video stream intoa machine learning model for detecting the objects included in the videostream. The machine learning model can be designed to identify objectsor certain types of objects. The model can be trained using many photosof many objects. Once a video stream is provided to the model, the modelcan return one or more identification names and a probability valueassociated with that identification. For example, the model can specifythat a vehicle is included in the video stream and the vehicle is aPorsche Cayenne 2018 with a probability of 80% or it is a LamborghiniUrus with a probability of 20%. The machine learning model of thisdisclosure can be stored on the smart device. However, in someembodiments, the model can be stored on the server, and the smart devicecan transmit the video stream to the server for identification ofobjects included therein.

In an example embodiment, after determining the identity of the object,the application can conduct an online search for determining objectsrelated to the detected object. The application can choose the augmentedreality objects based on the search results.

In one example embodiment, the application of the smart device or theserver can include a scene recognition module. For example, the modulecan receive a video feed from the camera of the smart device. The videofeed can be received before the human challenge is activated or evenafter the challenge is activated. In one embodiment, the camera providesthe video feed to the module in the background such that the user doesnot notice this provisioning of the video feed to the module. The modulecan analyze this video and determine a scene provided in this videofeed. For example, in one embodiment, the module can determine that thescene depicts a beach. The module can provide this information to theapplication of the smart device, and the application can determine todisplay augmented reality objects related to a beach, e.g., a boat and aflag. As another example, the module can determine that the scene is anindoor shopping area. In response to this determination by the module,the application can display a shopping cart as an augmented realityobject and the prompt can ask the user to identify shopping carts.

In one example embodiment, the application of the smart device caninclude a module for determining the location of the smart device andthe application or the server can determine the human challengecomponents based on the location of the smart device. For example, theapplication can determine the location of the smart device based on aGPS signal received at the smart device. As another example, theapplication can determine the location of the smart device based on aWi-Fi signal received at an indoor location. As yet another example, theapplication can determine the location of the smart device based on aninaudible signal detected at the smart device. Using the locationinformation, the application or the server can determine the componentsof the human challenge. For example, if the application determines thatthe user is in a restaurant, the application can choose to displayaugmented reality objects relating to a restaurant, e.g., various typesof food, and the prompt can be to select a specific type of food, e.g.,pizza.

In one example embodiment, in determining the components of the humanchallenge mode, in addition to using location-based data, theapplication can use sensory information provided by the smart device.For example, the smart device can utilize a compass, a gyroscope, and anaccelerometer to provide data for determining the components of thehuman challenge. This data then determines what augmented realityobjects are displayed to the user, e.g., depending on which side of thestreet the user is facing.

3-D Space Construction

In an example embodiment, the application can detect a ground plane (ora horizontal plane) in the video stream displayed on the user interfaceof the smart device. This detection can allow the application to placeaugmented reality objects on the ground plane (or the horizontal plane),e.g., a dog on the floor and a cat on the bed. There can be varioustechniques for detecting the ground plane. In one technique, theapplication can detect a few points on a plane in the video, and ifthose points have the same features, that plane can be recognized as theground plane. Specifically, using feature extraction through visualprocessing, the application can extract certain features in the imagesand use the extracted features to establish certain points which arecoplanar. If the application establishes that the extracted points arecoplanar, then the application can establish that the plane on whichthese points are located is the ground plane. The grouping of thefeature points and the orientation of the phone can assist indetermining the ground plane. Some of the smart device's sensors canalso be used in this process. For example, an accelerometer and agyroscope can provide data to the application to facilitate the groundplane detection.

In another technique, the application can identify a horizontal plane inan image being captured by the smart device. The application can decideto display augmented reality objects only on the horizontal plane (e.g.,to give the augmented reality objects a realistic appearance). Theapplication can further determine a size of the horizontal plane, andmay determine that the size of the horizontal plane satisfies athreshold value. Based on the size of the horizontal plane, theapplication of the smart device can determine what augmented realityobjects to display on the horizontal plane. For example, the applicationcan display only a pet on a smaller horizontal plane, but theapplication can display a car on the ground plane.

In one example embodiment, the application can construct a 3-D model ofthe space in front of the user. For example, the user can initially scanthe space and the application can construct a 3-D model of the scannedspace. The application can include a database of attributes foraugmented reality objects. Based on the 3-D model and informationprovided in the database, the application can place the augmentedreality objects in logical places for these augmented reality objects.For example, the 3-D model can include information about the horizontaland vertical surfaces. The application can place the augmented realityobjects that usually rest on horizontal surfaces on a horizontal surfaceand the augmented reality objects that usually rest on vertical surfaceson a vertical surface. In this example, the application can determinethat the user is in an indoor space, and thus, the application candecide to display indoor items to the user. The application can decideto show a frame on a wall of the indoor space (i.e., vertical surface)and the application can decide to display a dog on a bed (i.e.,horizontal surface).

In one example embodiment, the 3-D model can include informationrelating to a light source. For example, a module of the application candetermine a light source in the video stream provided by the camera.Using the information relating to the light source, the application candisplay augmented reality objects with shadows. The application candisplay certain objects with correct shadows and certain other objectswith incorrect shadows. The prompt can ask the user to identify theobjects with correct shadows.

FIG. 5 shows an example human challenge mode in which the applicationdisplays augmented reality objects with shadows. In this exampleembodiment, the user interface 101 displays a room 501 with an augmentedreality dog 502 and an augmented reality cat 504. Using the light sourcedetection module, the application can determine that there is a lightsource 506 in the room 501. The application can determine a location forthe light source. The application can also determine a light vector 507,which can specify the direction of the light. Using the location of thelight source 506 and/or the light vector 507, the application candetermine shadows for augmented reality objects 502 and 504. Forexample, the application can display an augment reality shadow 503 forthe augment reality dog 502. The augmented reality shadow 503 can beconsistent with the location of the light source 506 and the lightvector 507. The application can also display an augmented reality shadow505 for the augmented reality cat 504. The augmented reality shadow 505can be inconsistent with the location of the light source 506 and thelight vector 507.

In this example embodiment, a prompt can ask the user to identify theaugmented reality objects with the shadows consistent (or inconsistent)with the lighting in the room. In response, the user can select some ornone of the augmented reality objects displayed in the user interface.In this example, the augmented reality dog 502 has the consistent shadowand if the user selects this augmented reality object, the humanchallenge can be completed.

In one example embodiment, the application can display an artificiallight source. The application can determine a light vector for theartificial light source. The application can also display a plurality ofaugmented reality objects in the user interface. Using the location ofthe artificial light source and/or the light vector, the application candisplay shadows for the plurality of the augmented reality objects. Someof the shadows can be consistent with the artificial light source and/orthe light vector and some can be inconsistent with the artificial lightsource and/or the light vector. The application can prompt the user toselect the augmented reality objects with consistent (or inconsistent)shadows.

Although performance of various tasks relating to some embodiments ofthe present disclosure are described with respect an application of thesmart device, one of ordinary skill in the art recognizes that thesetasks can be performed on the backend using a server in communicationwith the smart device.

In an example embodiment, the application indicates whether imagequality of the incoming video stream is unsatisfactory for objectrecognition or scene recognition purposes. For example, if there is toomuch light or glare in the video or streaming images that the camera iscapturing, the application can indicate to the user that the user needsto move or point the camera in a different direction.

Technical Implementation of the Smart Device or Server

FIG. 6 illustrates exemplary hardware components of a server. A computersystem 600, or other computer systems similarly configured, may includeand execute one or more subsystem components to perform functionsdescribed herein, including the steps of various flow processesdescribed above. Likewise, a mobile device, a cell phone, a smartphone,a laptop, a desktop, a notebook, a tablet, a wearable device, a server,etc., which includes some of the same components of the computer system600, may run an application (or software) and perform the steps andfunctionalities described above. Computer system 600 may connect to anetwork 614, e.g., Internet, or other network, to receive inquiries,obtain data, and transmit information and incentives as described above.

The computer system 600 typically includes a memory 602, a secondarystorage device 604, and a processor 606. The computer system 600 mayalso include a plurality of processors 606 and be configured as aplurality of, e.g., bladed servers, or other known serverconfigurations. The computer system 600 may also include a networkconnection device 608, a display device 610, and an input device 612.

The memory 602 may include RAM or similar types of memory, and it maystore one or more applications for execution by processor 606. Secondarystorage device 604 may include a hard disk drive, floppy disk drive,CD-ROM drive, or other types of non-volatile data storage. Processor 606executes the application(s), such as those described herein, which arestored in memory 602 or secondary storage 604, or received from theInternet or other network 614. The processing by processor 606 may beimplemented in software, such as software modules, for execution bycomputers or other machines. These applications preferably includeinstructions executable to perform the system and subsystem componentfunctions and methods described above and illustrated in the FIGS.herein. The applications preferably provide graphical user interfaces(GUIs) through which users may view and interact with subsystemcomponents.

The computer system 600 may store one or more database structures in thesecondary storage 604, for example, for storing and maintaining theinformation necessary to perform the above-described functions.Alternatively, such information may be in storage devices separate fromthese components.

Also, as noted, processor 606 may execute one or more softwareapplications to provide the functions described in this specification,specifically to execute and perform the steps and functions in theprocess flows described above. Such processes may be implemented insoftware, such as software modules, for execution by computers or othermachines. The GUIs may be formatted, for example, as web pages inHyperText Markup Language (HTML), Extensible Markup Language (XML) or inany other suitable form for presentation on a display device dependingupon applications used by users to interact with the computer system600.

The input device 612 may include any device for entering informationinto the computer system 600, such as a touch-screen, keyboard, mouse,cursor-control device, microphone, digital camera, video recorder orcamcorder. The input and output device 612 may be used to enterinformation into GUIs during performance of the methods described above.The display device 610 may include any type of device for presentingvisual information such as, for example, a computer monitor orflat-screen display (or mobile device screen). The display device 610may display the GUIs and/or output from sub-system components (orsoftware).

Examples of the computer system 600 include dedicated server computers,such as bladed servers, personal computers, laptop computers, notebookcomputers, palm top computers, network computers, mobile devices, or anyprocessor-controlled device capable of executing a web browser or othertype of application for interacting with the system.

Although only one computer system 600 is shown in detail, system 600 mayuse multiple computer systems or servers as necessary or desired tosupport the users and may also use back-up or redundant servers toprevent network downtime in the event of a failure of a particularserver. In addition, although computer system 600 is depicted withvarious components, one skilled in the art will appreciate that thesystem can contain additional or different components. In addition,although aspects of an implementation consistent with the above aredescribed as being stored in a memory, one skilled in the art willappreciate that these aspects can also be stored on or read from othertypes of computer program products or computer-readable media, such assecondary storage devices, including hard disks, floppy disks, orCD-ROM; or other forms of RAM or ROM. The computer-readable media mayinclude instructions for controlling the computer system 600, to performa particular method, such as methods described above.

The present disclosure is not to be limited in terms of the particularembodiments described in this application, which are intended asillustrations of various aspects. Many modifications and variations canbe made without departing from its spirit and scope, as may be apparent.Functionally equivalent methods and apparatuses within the scope of thedisclosure, in addition to those enumerated herein, may be apparent fromthe foregoing representative descriptions. Such modifications andvariations are intended to fall within the scope of the appendedrepresentative claims. The present disclosure is to be limited only bythe terms of the appended representative claims, along with the fullscope of equivalents to which such representative claims are entitled.It is also to be understood that the terminology used herein is for thepurpose of describing particular embodiments only, and is not intendedto be limiting.

1-20. (canceled)
 21. A method comprising: displaying a user interface ona smart device, wherein the user interface is configured to display: anapplication with a login page; a button for activating a verificationfunction by selecting a particular virtual reality object; and a videofeed received from a camera of the smart device; in response toactivation of the verification function using the button, receiving thevideo feed including a plurality of fields of view; constructing a 3-Dmodel based on the plurality of fields of view; detecting an objectusing an object recognition module, a scene using a scene detectionmodule and GPS coordinates of the smart device; selecting a plurality ofvirtual reality objects based on the object, the scene and the GPScoordinates; displaying the plurality of virtual reality objects overthe video feed, wherein at least two of the plurality of virtual realityobjects are displayed in two different fields of view; promptingselection of a particular virtual reality object of the plurality ofvirtual reality objects; and in response to selection of the particularvirtual reality object, enabling the smart device to access theapplication.
 22. The method of claim 21, wherein the 3-D model includesa horizontal plane representing a ground.
 23. The method of claim 22,wherein the smart device is configured to display at least one of theplurality of virtual reality objects on the horizontal plane.
 24. Themethod of claim 21, wherein the smart device is configured to display adifferent field of view in response to the smart device being rotated ortilted.
 25. The method of claim 21, wherein selection of the particularvirtual reality object includes drag and drop of the particular virtualreality object.
 26. The method of claim 21, wherein the selection of theparticular virtual reality object includes textual input.
 27. The methodof claim 26, further comprising determining an intent of the textualinput using a natural language processing module.
 28. The method ofclaim 27, further comprising determining whether the intent matches adescription for the particular virtual reality object.
 29. The method ofclaim 21, wherein the selection of the particular virtual reality objectincludes a selection of a plurality of the plurality of virtual realityobjects.
 30. The method of claim 21, wherein the selection of theparticular virtual reality object includes drawing a shape over theparticular virtual reality object in the user interface.
 31. The methodof claim 21, further comprising, in response to the selection of avirtual reality object other than the particular virtual reality object,displaying a second plurality of virtual reality objects over the videofeed.
 32. The method of claim 31, further comprising, in response to theselection of a virtual reality object other than the particular virtualreality object, prompting selection of a second particular virtualreality object of the second plurality of virtual reality objects.
 33. Amethod comprising: receiving, at a server, a video feed from a camera ofa smart device including a plurality of fields of view; constructing a3-D model based on the plurality of fields of view; detecting an objectusing an object recognition module and a scene using a scene detectionmodule; receiving GPS coordinates of the smart device; selecting aplurality of virtual reality objects based on the object, the scene andthe GPS coordinates; transmitting the plurality of virtual realityobjects and the 3-D model to the smart device; transmitting, to thesmart device, a prompt for selection of a particular virtual realityobject of the plurality of virtual reality objects; and in response toreceiving a selection of the particular virtual reality object form thesmart device, transmitting a signal to the smart device, the signalconfigured to enable the smart device to access the application.
 34. Themethod of claim 33, wherein the 3-D model includes a horizontal planerepresenting a ground.
 35. The method of claim 33, wherein the selectionof the particular virtual reality object includes drag and drop of theparticular virtual reality object.
 36. The method of claim 33, whereinthe selection of the particular virtual reality object includes textualinput.
 37. The method of claim 36, further comprising determining anintent of the textual input using a natural language processing module.38. The method of claim 37, further comprising determining whether theintent matches a description for the particular virtual reality object.39. The method of claim 33, wherein the selection of the particularvirtual reality object includes a selection of a second plurality of theplurality of virtual reality objects.
 40. The method of claim 33,wherein the selection of the particular virtual reality object includesdrawing a shape over the particular virtual reality object.